Triple
T24206095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Gloire de mon père |
E600108
|
entity |
| Predicate | isFirstVolumeOf |
P155204
|
FINISHED |
| Object | Souvenirs d’enfance |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Souvenirs d’enfance | Statement: [La Gloire de mon père, isFirstVolumeOf, Souvenirs d’enfance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstVolumeOf Context triple: [La Gloire de mon père, isFirstVolumeOf, Souvenirs d’enfance]
-
A.
isFirstEditionOf
Indicates that one entity is the original first published edition of another work or publication.
-
B.
firstEditionVolumes
Indicates that the subject is a work or publication and the object is the number of volumes in its first edition.
-
C.
firstBookBy
Indicates that one entity is the first book authored by another entity.
-
D.
firstEditionType
Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
-
E.
hasFirstEditionYear
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca63d188190add6c41929bb5cb5 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:37 p.m.